2026.03.20
The Imperative of AI Reliability: Evaluation & Guardrails
Discover why AI reliability, through robust evaluation and proactive guardrails, is essential for building safe, trustworthy, and effective AI systems …
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2026.03.20
Mastering Prompt Testing: Ensuring LLM Performance & Safety
Learn how to systematically test and validate prompts for Large Language Models (LLMs) to ensure optimal performance, safety, and reliability in your …
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Detecting & Mitigating Hallucinations in Generative AI
Learn how to detect and mitigate AI hallucinations in generative models like LLMs, ensuring reliability and trustworthiness in production systems.
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Deploying RAG 2.0: Best Practices, Evaluation, and Real-World Projects
Explore best practices for deploying RAG 2.0 systems, learn crucial evaluation methodologies, and discover real-world applications to build robust and …
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Chapter 10: Evaluation, Observability & Debugging AI Agents
Learn how to evaluate, observe, and debug AI agents for better performance and reliability.
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Evaluating and Testing Prompts & Agents for Performance and Reliability
Learn to rigorously evaluate and test your prompts and AI agents for accuracy, reliability, cost-efficiency, and safety in production environments.
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Ensuring Reliability: Testing, Evaluation, and Observability for Agents
Explore the critical aspects of testing, evaluating, and observing AI agents and multi-agent systems to ensure reliability, manage emergent behaviors, …
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